Identify and assess threats in AI environments

We examine AI systems, including models, data inputs, and LLMs, to identify modern security risks and protect against emerging threats.

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Artificial Intelligence (AI) Penetration Test

Reduce risks in your AI projects, from prompt injection to data loss

AI systems introduce new and complex attack surfaces. At Cythera, our AI penetration testing helps you understand where these risks lie. From compromised inputs to corrupted models, we examine key areas that could undermine the integrity or security of your AI deployments.

Finds weaknesses in AI workflows before malicious actors do
Assesses how models handle prompts, sanitise inputs, and behave under stress
Supplies you with clear, actionable insights to tighten AI defences

Service detail

Assess how your AI systems respond to real-world threats

Is your AI or LLM setup resilient against real-world threats? We simulate malicious inputs and attacker tactics to reveal risks like prompt injection, data leakage and incorrect model behaviour.

Go beyond traditional testing

Custom testing for AI-specific risks

AI brings new risks that traditional tests don’t cover. We run security tests tailored for AI systems to spot prompt injection risks, data leaks, and harmful outcomes—so you can launch safely and responsibly.

Simulate adversarial inputs to reveal weak points
Check for harmful, biased, or unexpected AI behaviour
Test input/output controls to enforce safe operations

Our delivery process

How is it delivered

Our consultants partner with you from the initial discovery phase through to final reporting, taking the time to understand your AI system and tailor testing accordingly. We deliver a clear, prioritised report outlining identified vulnerabilities, their potential impact, and practical remediation steps to enhance the security of your AI environment.

Pre-engagement planning

We determine the AI models, supporting frameworks, and technologies in use, along with the types of data the system can access.

Testing

We review your system against the OWASP LLM/AI Top 10 to identify common risks and vulnerabilities in AI deployments.

Report delivery and beyond

We’ll provide a full report with clear risk overviews, technical details, and step-by-step reproduction guidance, along with practical advice on how to fix the issues. We can also test the fixes to ensure they work as intended.

Benefits

Experts in AI and emerging security challenges

We’ve assessed AI systems across sectors and understand the unique security risks they present—from manipulated inputs to unexpected results.

Trusted experts

Our experts don’t just scan the surface. We assess how AI systems behave in the real world, revealing hidden vulnerabilities attackers are most likely to exploit.

Focused and effective testing

Every engagement is built around your specific environment. We skip cookie-cutter checklists and focus on the risks that truly matter.

Real-time support and guidance

We keep you in the loop throughout testing—flagging critical issues as they arise and guiding your team through the fix.

What comes next

Expand your security coverage

We help organisations adopt AI securely and responsibly by building tailored strategies, assessing critical use cases, and following up with targeted testing. Whether you're looking to establish a comprehensive AI security roadmap or need guidance on specific implementations, we offer the support to reduce risk and build confidence in your AI initiatives.

Build a business-wide roadmap for secure AI adoption
Test and assess high-risk AI models or workflows
Get expert input on AI policy, governance, and security architecture

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Web Application Penetration Testing

Uncover hidden flaws in your web apps — from session handling to access controls — through in-depth security reviews.

Vulnerability Assessment

Perform a full vulnerability scan to highlight your top risks and guide efficient mitigation.

Frequently asked questions

From risk assessment to rapid response - we’re with you every step of the way.

How does AI-driven pen testing differ from traditional approaches?

AI penetration testing builds on traditional methods but also checks for AI-specific risks like prompt injection, adversarial inputs, misused APIs, and flaws in model logic - ensuring more comprehensive coverage.

What comes next after AI pen testing?

You'll receive a comprehensive report highlighting risks, vulnerabilities and priority actions. We support AI risk governance, validation testing, and help your team establish frameworks for safe and responsible AI use across your organisation.

What is AI penetration testing and why is it important?

AI security testing focuses on identifying vulnerabilities unique to artificial intelligence systems like large language models (LLMs). We assess risks including data exposure, adversarial manipulation, and insecure logic, ensuring your AI deployments don't open up new threat vectors.

What types of security risks are tested in AI and LLM assessments?

We evaluate AI systems for prompt injection flaws, data leakage, weak access controls, model poisoning and other vulnerabilities unique to machine learning environments�ensuring that confidentiality, integrity and access remain secure in AI-enabled platforms.

Will testing AI models interrupt business operations?

No. Our tests are carefully scoped to avoid disruption. We simulate realistic threat scenarios in a safe, controlled way to assess your defences without affecting operational stability.